Innovation and research laboratory inLab FIB
InLab FIB (https://inlab.fib.upc.edu/ca/projectes) is the innovation and research laboratory of the Barcelona School of Informatics (FIB) of the Polytechnic University of Catalonia (UPC).
The mission of inLab FIB is: To innovate and transfer knowledge to society in the field of ICT, through the development of human talent and the carrying out of multidisciplinary R+D+i projects.
The inLab FIB enjoys extensive experience of more than 30 years developing multidisciplinary ICT R&D projects, both in competitive projects (whether national or European projects) and in contracts with companies or public administration. Many of these projects are currently in operation and have made it possible to provide new solutions that have improved the competitiveness of the company or public administration by differentiating the services offered to customers. Information on all projects developed in recent years can be found in inLab FIB projects.
Currently the areas of expertise of the inLab FIB are the following:
Data science and big data
Data management and analysis, Dashboarding and data visualization, predictive and classification models and advanced artificial intelligence (Deep Learning).
Smart mobility
Management of new mobility concepts, advanced traffic and mobility data processing, vehicle fleet management through real-time routing algorithms, micro, meso and macroscopic simulation of traffic, air quality prediction, analysis and improvement of intermodal and transport processes, machine learning algorithms to make traffic predictions
Knowledge engineering and services
Data representation, information modeling and processing, requirements engineering, information systems, web technologies, Software as a Service, Internet of Things, innovation and research projects in knowledge management.
Cybersecurity
Computer security (audits, forensic analysis, network monitoring), development of malware and electronic fraud detection systems, application security, training and awareness on cybersecurity.
Modelling, simulation and optimization
Digital twin: Feasibility studies and/or improvements of systems and processes through the use of modeling, simulation and optimization techniques applied to logistics and processes of the agri-food industry.
Equipment
- 2 TIAGO Steel PAL Robotics robots.
- 2 WAM manipulator robots.
- 2 KINOVA Gen3 Ultra Lightweight manipulator robots.
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